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The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc
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molecular simulations, machine-learning techniques, and statistical mechanics for research opportunities in: Development of data-driven schemes for the discovery of slow degrees of freedom Molecular
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Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage
mission will be to develop machine learning models to predict properties of alloys of elements of groups 1 to 15, such as their melting temperature, range, and enthalpy. Based on these predictive models
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machine learning have transformed our approach to inverse problems in various fields, notably in medical imaging, enabling a deeper understanding of complex data structures. However, although sophisticated
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integration. - Basic knowledge of Machine Learning and Machine Learning Operations would be a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UAR6402-CHRDUR-163/Default.aspx Work
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of the following topics will be appreciated: · SAT solving, · Problem encodings and reformulation, · Cryptography, · Pattern mining and machine learning. Website for additional job details
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. Fujii, K. & Nakajima, K. Harnessing disordered-ensemble quantum dynamics for machine learning. Phys Rev Appl 8, 024030 (2017). 2. Rudolph, M. S. et al, Generation of High-Resolution Handwritten Digits
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., Nature Communications (2020) 11:4691] based on an analysis of local atomic environments using “machine learning” methods (MiLaDy). In parallel with this analysis of the database, and to have a better idea
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Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and
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, deep learning-based image methods have emerged as a prominent tool in medical image processing. While they have shown impressive success in various computer vision tasks, their application in the medical